A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill

Ali Esmaeel Nezhad; Pedro H.J. Nardelli; Subham Sahoo; Farideh Ghanavati; Gerardo J. Osorio

doi:10.1109/EEEIC/ICPSEurope54979.2022.9854599

A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill

Ali Esmaeel Nezhad, Pedro H.J. Nardelli, Subham Sahoo, Farideh Ghanavati, Gerardo J. Osorio

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

Abstract

This paper investigates a centralized, high-resolution and fast model for home energy management. The model is provided within mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by the dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.

Originalsprog	Engelsk
Titel	2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
Forlag	IEEE Signal Processing Society
Publikationsdato	2022
ISBN (Elektronisk)	9781665485371
DOI	https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599
Status	Udgivet - 2022
Begivenhed	2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 - Prague, Tjekkiet Varighed: 28 jun. 2022 → 1 jul. 2022

Konference

Konference	2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
Land/Område	Tjekkiet
By	Prague
Periode	28/06/2022 → 01/07/2022

Navn	2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022

Bibliografisk note

Funding Information:
This work is partly supported by LUT Graduate School, and the Academy of Finland via: (a) EnergyNet Research Fellowship n.321265/n.328869 and (b) FIREMAN consortium n.326270 as part of CHIST-ERA grant CHIST-ERA-17-BDSI-003.

Publisher Copyright:
© 2022 IEEE.

Adgang til dokumentet

10.1109/EEEIC/ICPSEurope54979.2022.9854599

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Andre filer og links

Link to publication in Scopus

Citationsformater

Nezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osorio, G. J. (2022). A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill. I 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 IEEE Signal Processing Society. https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599

Nezhad, Ali Esmaeel ; Nardelli, Pedro H.J. ; Sahoo, Subham et al. / A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill. 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022. IEEE Signal Processing Society, 2022. (2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022).

@inproceedings{6e709037238d40a8ad9680971be526df,

title = "A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill",

abstract = "This paper investigates a centralized, high-resolution and fast model for home energy management. The model is provided within mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by the dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.",

keywords = "Demand Response, Home Energy Management System, Mixed-Integer Linear Programming, Python, Time-of-Use Tariff",

author = "Nezhad, {Ali Esmaeel} and Nardelli, {Pedro H.J.} and Subham Sahoo and Farideh Ghanavati and Osorio, {Gerardo J.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 ; Conference date: 28-06-2022 Through 01-07-2022",

year = "2022",

doi = "10.1109/EEEIC/ICPSEurope54979.2022.9854599",

language = "English",

series = "2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022",

booktitle = "2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022",

publisher = "IEEE Signal Processing Society",

address = "United States",

}

Nezhad, AE, Nardelli, PHJ, Sahoo, S, Ghanavati, F & Osorio, GJ 2022, A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill. i 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022. IEEE Signal Processing Society, 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022, 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022, Prague, Tjekkiet, 28/06/2022. https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599

A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill. / Nezhad, Ali Esmaeel; Nardelli, Pedro H.J.; Sahoo, Subham et al.
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022. IEEE Signal Processing Society, 2022. (2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill

AU - Nezhad, Ali Esmaeel

AU - Nardelli, Pedro H.J.

AU - Sahoo, Subham

AU - Ghanavati, Farideh

AU - Osorio, Gerardo J.

PY - 2022

Y1 - 2022

N2 - This paper investigates a centralized, high-resolution and fast model for home energy management. The model is provided within mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by the dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.

AB - This paper investigates a centralized, high-resolution and fast model for home energy management. The model is provided within mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by the dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.

KW - Demand Response

KW - Home Energy Management System

KW - Mixed-Integer Linear Programming

KW - Python

KW - Time-of-Use Tariff

UR - http://www.scopus.com/inward/record.url?scp=85137989553&partnerID=8YFLogxK

U2 - 10.1109/EEEIC/ICPSEurope54979.2022.9854599

DO - 10.1109/EEEIC/ICPSEurope54979.2022.9854599

M3 - Article in proceeding

AN - SCOPUS:85137989553

T3 - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022

BT - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022

PB - IEEE Signal Processing Society

T2 - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022

Y2 - 28 June 2022 through 1 July 2022

ER -

Nezhad AE, Nardelli PHJ, Sahoo S, Ghanavati F, Osorio GJ. A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill. I 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022. IEEE Signal Processing Society. 2022. (2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022). doi: 10.1109/EEEIC/ICPSEurope54979.2022.9854599

A Centralized Home Energy Management System to Minimize Consumer's Electricity Bill

Abstract

Konference

Bibliografisk note

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Citationsformater